Using the simulated ‘Robust’ data:
1) Build a Markovian emigration model (ɣ’ different from ɣ’’) where temporary emigration estimates and survival all change over time, and capture and recapture probabilities equal but changing in time and sessions.
2) Repeat the above but capture and recapture are different.
3) Make a random emigration model (ɣ’ = ɣ’’) where the emigration parameter changes over time, using different capture and recapture probabilities varying over time, and survival changing over time.
4) Obtain model-averaged estimates of ɣ’ , ɣ’’ and S (you can obtain estimates of f0 and N if you want but I'm ignoring these for now). According to these estimates:
a. What is the probability that an individual remains in the sample between seasons 1 and 2 ? And what is the probability that an individual temporarily emigrates from the population between those seasons?
b. What is the probability that an individual returns from temporary emigration between seasons 2 and 3? And what is the probability that an individual stays out of the population at those same seasons?
ASSUME FOR BOTH QUESTIONS ABOVE THAT THE ANIMAL HAS NOT DIED, SO ONLY TEMPORARY EMIGRATION IS IN PLAY).